Alibaba at IJCNLP-2017 Task 1: Embedding Grammatical Features into LSTMs for Chinese Grammatical Error Diagnosis Task

2017-12-01 · IJCNLP 2017 12 · Yi Yang, Pengjun Xie, Jun Tao, Guangwei Xu, Linlin Li, Luo Si

This paper introduces Alibaba NLP team system on IJCNLP 2017 shared task No. 1 Chinese Grammatical Error Diagnosis (CGED). The task is to diagnose four types of grammatical errors which are redundant words (R), missing words (M), bad word selection (S) and disordered words (W). We treat the task as a sequence tagging problem and design some handcraft features to solve it. Our system is mainly based on the LSTM-CRF model and 3 ensemble strategies are applied to improve the performance. At the identification level and the position level our system gets the highest F1 scores. At the position level, which is the most difficult level, we perform best on all metrics.

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2D Human Pose EstimationPosition

Alibaba at IJCNLP-2017 Task 2: A Boosted Deep System for Dimensional Sentiment Analysis of Chinese Phrases

2017-12-01 · IJCNLP 2017 12 · Xin Zhou, Jian Wang, Xu Xie, Changlong Sun 외

This paper introduces Team Alibaba{'}s systems participating IJCNLP 2017 shared task No. 2 Dimensional Sentiment Analysis for Chinese Phrases (DSAP). The systems mainly utilize a multi-layer neural networks, with multipl…

Clustering Feature Engineering Part-Of-Speech Tagging Prediction+2

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2017-12-01 · IJCNLP 2017 12 · Gaoqi Rao, Baolin Zhang, Endong Xun, Lung-Hao Lee

This paper presents the IJCNLP 2017 shared task for Chinese grammatical error diagnosis (CGED) which seeks to identify grammatical error types and their range of occurrence within sentences written by learners of Chinese…

Grammatical Error Correction

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2017-12-01 · IJCNLP 2017 12 · Quanlei Liao, Jin Wang, Jinnan Yang, Xue-jie Zhang

Building a system to detect Chinese grammatical errors is a challenge for natural-language processing researchers. As Chinese learners are increasing, developing such a system can help them study Chinese more easily. Thi…

Position Sentence

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2017-12-01 · IJCNLP 2017 12 · Szu-Min Chen, Zi-Yuan Chen, Lun-Wei Ku

Categorical sentiment classification has drawn much attention in the field of NLP, while less work has been conducted for dimensional sentiment analysis (DSA). Recent works for DSA utilize either word embedding, knowledg…

General Classification Sentiment Analysis Sentiment Classification Task 2

CVTE at IJCNLP-2017 Task 1: Character Checking System for Chinese Grammatical Error Diagnosis Task

2017-12-01 · IJCNLP 2017 12 · Xi-An Li, Peng Wang, Suixue Wang, Guanyu Jiang 외

Grammatical error diagnosis is an important task in natural language processing. This paper introduces CVTE Character Checking System in the NLP-TEA-4 shared task for CGED 2017, we use Bi-LSTM to generate the probability…

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